Weie Wen
Impact in
- Plant Science top 1%
- Wheat and Barley Genetics and Pathology
- Genetics and Plant Breeding
- Plant Disease Resistance and Genetics
- Plant nutrient uptake and metabolism
- Plant Micronutrient Interactions and Effects
- Genetics top 2%
- Genetic Mapping and Diversity in Plants and Animals
Papers in
-
- Wheat and Barley Genetics and Pathology 26
- Genetics and Plant Breeding 15
- Plant Disease Resistance and Genetics 7
- GABA and Rice Research 3
- Horticultural and Viticultural Research 3
- Genetics 21
- Genetic Mapping and Diversity in Plants and Animals 21
- Co-authors
- Zhonghu HeXianchun XiaJindong LiuAwais RasheedFengmei GaoHui JinShuanghe CaoShengnan Zhai
In The Last Decade
Weie Wen
38 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Plant Science 1.8k
- Genetics 982
- Agronomy and Crop Science 339
- Horticulture 6
- Cell Biology 71
Countries citing papers authored by Weie Wen
This map shows the geographic impact of Weie Wen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Weie Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weie Wen more than expected).
Fields of papers citing papers by Weie Wen
This network shows the impact of papers produced by Weie Wen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Weie Wen. The network helps show where Weie Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Weie Wen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 42 | |
| 6 | 2022 | 43 | |
| 7 | 2020 | 9 | |
| 8 | 2020 | 14 | |
| 9 | 2019 | 11 | |
| 10 | 2019 | 156 | |
| 11 | 2019 | 40 | |
| 12 | 2019 | 37 | |
| 13 | 2018 | 114 | |
| 14 | 2017 | 91 | |
| 15 | Development and validation of KASP assays for genes underpinning key economic traits in bread wheat Hit paper breakdown → | 2016 | 328 |
| 16 | 2016 | 13 | |
| 17 | 2016 | 33 | |
| 18 | 2015 | 24 | |
| 19 | 2015 | 43 | |
| 20 | 2015 | 23 |
About Weie Wen
Weie Wen is a scholar working on Plant Science, Genetics, Pharmacology, Agronomy and Crop Science and Biochemistry, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (26 papers), Genetic Mapping and Diversity in Plants and Animals (21 papers), Genetics and Plant Breeding (15 papers), Plant Disease Resistance and Genetics (7 papers), Biological and pharmacological studies of plants (6 papers), Plant tissue culture and regeneration (4 papers), GABA and Rice Research (3 papers) and Horticultural and Viticultural Research (3 papers). The work is most often cited by research in Plant Science (1.8k citations), Genetics (982 citations), Agronomy and Crop Science (339 citations), Horticulture (6 citations) and Cell Biology (71 citations). Weie Wen has collaborated with scholars based in China, Mexico and Sweden. Frequent co-authors include Zhonghu He, Xianchun Xia, Jindong Liu, Awais Rasheed, Fengmei Gao, Hui Jin, Shuanghe Cao, Shengnan Zhai, Jun Yan and Yingjun Zhang. Their work appears in journals such as Theoretical and Applied Genetics, Frontiers in Plant Science, Molecular Breeding, Frontiers in Microbiology and BMC Plant Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.